Data-driven approaches in the investigation of social perception



: Adolphs R, Nummenmaa L, Todorov A, Haxby JV

Publisher: ROYAL SOC

: 2016

: Philosophical Transactions B: Biological Sciences

: PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

: PHILOS T R SOC B

: ARTN 20150367

: 371

: 1693

: 10

: 0962-8436

DOI: https://doi.org/10.1098/rstb.2015.0367


The complexity of social perception poses a challenge to traditional approaches to understand its psychological and neurobiological underpinnings. Data-driven methods are particularly well suited to tackling the often high-dimensional nature of stimulus spaces and of neural representations that characterize social perception. Such methods are more exploratory, capitalize on rich and large data sets, and attempt to discover patterns often without strict hypothesis testing. We present four case studies here: behavioural studies on face judgements, two neuroimaging studies of movies, and eyetracking studies in autism. We conclude with suggestions for particular topics that seem ripe for data-driven approaches, as well as caveats and limitations.



Last updated on 2024-26-11 at 23:41